{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제5_지역불평등과 정치\data\analysis_1_code.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}29 Oct 2025, 20:40:29

{com}. probit conservative high_class low_class income education high_skilled employer age marital gender urban i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:  -10232.1}  
Iteration 1:{space 3}log likelihood = {res:-10055.751}  
Iteration 2:{space 3}log likelihood = {res:-10055.661}  
Iteration 3:{space 3}log likelihood = {res:-10055.661}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    15,678
{txt}{col 49}LR chi2({res}21{txt}){col 67}= {res}    352.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-10055.661{txt}{col 49}Pseudo R2{col 67}= {res}    0.0172

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}conservative{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}high_class {c |}{col 14}{res}{space 2} .1050663{col 26}{space 2} .0286348{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0489432{col 67}{space 3} .1611894
{txt}{space 3}low_class {c |}{col 14}{res}{space 2} .1147697{col 26}{space 2} .0245508{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .0666511{col 67}{space 3} .1628883
{txt}{space 6}income {c |}{col 14}{res}{space 2} .0057419{col 26}{space 2} .0025809{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0006833{col 67}{space 3} .0108004
{txt}{space 3}education {c |}{col 14}{res}{space 2} .0141751{col 26}{space 2} .0102698{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-.0059533{col 67}{space 3} .0343035
{txt}high_skilled {c |}{col 14}{res}{space 2}-.0923666{col 26}{space 2} .0318561{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4}-.1548034{col 67}{space 3}-.0299298
{txt}{space 4}employer {c |}{col 14}{res}{space 2} .1540559{col 26}{space 2} .0654958{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0256866{col 67}{space 3} .2824253
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1058934{col 26}{space 2} .0101904{col 37}{space 1}   10.39{col 46}{space 3}0.000{col 54}{space 4} .0859206{col 67}{space 3} .1258661
{txt}{space 5}marital {c |}{col 14}{res}{space 2}-.0395865{col 26}{space 2} .0316876{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.1016931{col 67}{space 3} .0225201
{txt}{space 6}gender {c |}{col 14}{res}{space 2} .0093584{col 26}{space 2} .0215445{col 37}{space 1}    0.43{col 46}{space 3}0.664{col 54}{space 4} -.032868{col 67}{space 3} .0515848
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .0478627{col 26}{space 2} .0108305{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .0266353{col 67}{space 3} .0690901
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2004  {c |}{col 14}{res}{space 2}-.0996552{col 26}{space 2} .0577333{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.2128105{col 67}{space 3}    .0135
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} -.156459{col 26}{space 2} .0528355{col 37}{space 1}   -2.96{col 46}{space 3}0.003{col 54}{space 4}-.2600146{col 67}{space 3}-.0529034
{txt}{space 7}2006  {c |}{col 14}{res}{space 2}-.1481415{col 26}{space 2} .0523899{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.2508239{col 67}{space 3}-.0454592
{txt}{space 7}2007  {c |}{col 14}{res}{space 2}-.2587143{col 26}{space 2} .0540234{col 37}{space 1}   -4.79{col 46}{space 3}0.000{col 54}{space 4}-.3645982{col 67}{space 3}-.1528303
{txt}{space 7}2008  {c |}{col 14}{res}{space 2}-.1474777{col 26}{space 2} .0534708{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4}-.2522785{col 67}{space 3}-.0426769
{txt}{space 7}2009  {c |}{col 14}{res}{space 2}-.2194695{col 26}{space 2} .0528269{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-.3230083{col 67}{space 3}-.1159308
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.2573816{col 26}{space 2} .0543498{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-.3639052{col 67}{space 3} -.150858
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.2380265{col 26}{space 2} .0544424{col 37}{space 1}   -4.37{col 46}{space 3}0.000{col 54}{space 4}-.3447315{col 67}{space 3}-.1313214
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.2285068{col 26}{space 2}    .0548{col 37}{space 1}   -4.17{col 46}{space 3}0.000{col 54}{space 4}-.3359128{col 67}{space 3}-.1211009
{txt}{space 7}2014  {c |}{col 14}{res}{space 2}-.2392797{col 26}{space 2} .0543203{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4}-.3457455{col 67}{space 3}-.1328139
{txt}{space 7}2021  {c |}{col 14}{res}{space 2}-.0041832{col 26}{space 2} .0537226{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.1094775{col 67}{space 3} .1011111
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.7944351{col 26}{space 2} .0773839{col 37}{space 1}  -10.27{col 46}{space 3}0.000{col 54}{space 4}-.9461047{col 67}{space 3}-.6427655
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, at( high_class =(0(1)1)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    15,678
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(conservative), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3475193{col 26}{space 2} .0045148{col 37}{space 1}   76.97{col 46}{space 3}0.000{col 54}{space 4} .3386704{col 67}{space 3} .3563681
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3870713{col 26}{space 2} .0093465{col 37}{space 1}   41.41{col 46}{space 3}0.000{col 54}{space 4} .3687525{col 67}{space 3} .4053902
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: high_class{p_end}
{res}
{com}. 
. 
. 
. probit conservative high_class low_class income education high_skilled employer age marital gender urban i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:  -10232.1}  
Iteration 1:{space 3}log likelihood = {res:-10055.751}  
Iteration 2:{space 3}log likelihood = {res:-10055.661}  
Iteration 3:{space 3}log likelihood = {res:-10055.661}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    15,678
{txt}{col 49}LR chi2({res}21{txt}){col 67}= {res}    352.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-10055.661{txt}{col 49}Pseudo R2{col 67}= {res}    0.0172

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}conservative{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}high_class {c |}{col 14}{res}{space 2} .1050663{col 26}{space 2} .0286348{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .0489432{col 67}{space 3} .1611894
{txt}{space 3}low_class {c |}{col 14}{res}{space 2} .1147697{col 26}{space 2} .0245508{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .0666511{col 67}{space 3} .1628883
{txt}{space 6}income {c |}{col 14}{res}{space 2} .0057419{col 26}{space 2} .0025809{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0006833{col 67}{space 3} .0108004
{txt}{space 3}education {c |}{col 14}{res}{space 2} .0141751{col 26}{space 2} .0102698{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-.0059533{col 67}{space 3} .0343035
{txt}high_skilled {c |}{col 14}{res}{space 2}-.0923666{col 26}{space 2} .0318561{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4}-.1548034{col 67}{space 3}-.0299298
{txt}{space 4}employer {c |}{col 14}{res}{space 2} .1540559{col 26}{space 2} .0654958{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0256866{col 67}{space 3} .2824253
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1058934{col 26}{space 2} .0101904{col 37}{space 1}   10.39{col 46}{space 3}0.000{col 54}{space 4} .0859206{col 67}{space 3} .1258661
{txt}{space 5}marital {c |}{col 14}{res}{space 2}-.0395865{col 26}{space 2} .0316876{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.1016931{col 67}{space 3} .0225201
{txt}{space 6}gender {c |}{col 14}{res}{space 2} .0093584{col 26}{space 2} .0215445{col 37}{space 1}    0.43{col 46}{space 3}0.664{col 54}{space 4} -.032868{col 67}{space 3} .0515848
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .0478627{col 26}{space 2} .0108305{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .0266353{col 67}{space 3} .0690901
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2004  {c |}{col 14}{res}{space 2}-.0996552{col 26}{space 2} .0577333{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.2128105{col 67}{space 3}    .0135
{txt}{space 7}2005  {c |}{col 14}{res}{space 2} -.156459{col 26}{space 2} .0528355{col 37}{space 1}   -2.96{col 46}{space 3}0.003{col 54}{space 4}-.2600146{col 67}{space 3}-.0529034
{txt}{space 7}2006  {c |}{col 14}{res}{space 2}-.1481415{col 26}{space 2} .0523899{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4}-.2508239{col 67}{space 3}-.0454592
{txt}{space 7}2007  {c |}{col 14}{res}{space 2}-.2587143{col 26}{space 2} .0540234{col 37}{space 1}   -4.79{col 46}{space 3}0.000{col 54}{space 4}-.3645982{col 67}{space 3}-.1528303
{txt}{space 7}2008  {c |}{col 14}{res}{space 2}-.1474777{col 26}{space 2} .0534708{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4}-.2522785{col 67}{space 3}-.0426769
{txt}{space 7}2009  {c |}{col 14}{res}{space 2}-.2194695{col 26}{space 2} .0528269{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-.3230083{col 67}{space 3}-.1159308
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.2573816{col 26}{space 2} .0543498{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4}-.3639052{col 67}{space 3} -.150858
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.2380265{col 26}{space 2} .0544424{col 37}{space 1}   -4.37{col 46}{space 3}0.000{col 54}{space 4}-.3447315{col 67}{space 3}-.1313214
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.2285068{col 26}{space 2}    .0548{col 37}{space 1}   -4.17{col 46}{space 3}0.000{col 54}{space 4}-.3359128{col 67}{space 3}-.1211009
{txt}{space 7}2014  {c |}{col 14}{res}{space 2}-.2392797{col 26}{space 2} .0543203{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4}-.3457455{col 67}{space 3}-.1328139
{txt}{space 7}2021  {c |}{col 14}{res}{space 2}-.0041832{col 26}{space 2} .0537226{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.1094775{col 67}{space 3} .1011111
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.7944351{col 26}{space 2} .0773839{col 37}{space 1}  -10.27{col 46}{space 3}0.000{col 54}{space 4}-.9461047{col 67}{space 3}-.6427655
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, at( low_class =(0(1)1)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    15,678
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(conservative), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3391821{col 26}{space 2} .0052711{col 37}{space 1}   64.35{col 46}{space 3}0.000{col 54}{space 4}  .328851{col 67}{space 3} .3495133
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3821166{col 26}{space 2}    .0068{col 37}{space 1}   56.19{col 46}{space 3}0.000{col 54}{space 4} .3687889{col 67}{space 3} .3954443
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: low_class{p_end}
{res}
{com}. 
. 
. 
. probit conservative middle_class income education high_skilled employer age marital gender urban i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:  -10232.1}  
Iteration 1:{space 3}log likelihood = {res:-10055.802}  
Iteration 2:{space 3}log likelihood = {res:-10055.712}  
Iteration 3:{space 3}log likelihood = {res:-10055.712}  
{res}
{txt}Probit regression{col 49}Number of obs{col 67}= {res}    15,678
{txt}{col 49}LR chi2({res}20{txt}){col 67}= {res}    352.78
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-10055.712{txt}{col 49}Pseudo R2{col 67}= {res}    0.0172

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}conservative{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
middle_class {c |}{col 14}{res}{space 2}-.1110597{col 26}{space 2} .0216331{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-.1534598{col 67}{space 3}-.0686596
{txt}{space 6}income {c |}{col 14}{res}{space 2} .0054679{col 26}{space 2} .0024344{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0006966{col 67}{space 3} .0102391
{txt}{space 3}education {c |}{col 14}{res}{space 2} .0139876{col 26}{space 2} .0102531{col 37}{space 1}    1.36{col 46}{space 3}0.172{col 54}{space 4} -.006108{col 67}{space 3} .0340833
{txt}high_skilled {c |}{col 14}{res}{space 2}-.0923375{col 26}{space 2} .0318558{col 37}{space 1}   -2.90{col 46}{space 3}0.004{col 54}{space 4}-.1547737{col 67}{space 3}-.0299013
{txt}{space 4}employer {c |}{col 14}{res}{space 2} .1534006{col 26}{space 2} .0654639{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0250937{col 67}{space 3} .2817074
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1058456{col 26}{space 2} .0101893{col 37}{space 1}   10.39{col 46}{space 3}0.000{col 54}{space 4} .0858749{col 67}{space 3} .1258163
{txt}{space 5}marital {c |}{col 14}{res}{space 2}-.0395879{col 26}{space 2}  .031688{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.1016953{col 67}{space 3} .0225195
{txt}{space 6}gender {c |}{col 14}{res}{space 2} .0092032{col 26}{space 2} .0215389{col 37}{space 1}    0.43{col 46}{space 3}0.669{col 54}{space 4}-.0330123{col 67}{space 3} .0514187
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .0477475{col 26}{space 2} .0108244{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4}  .026532{col 67}{space 3}  .068963
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2004  {c |}{col 14}{res}{space 2}-.0998605{col 26}{space 2} .0577316{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.2130124{col 67}{space 3} .0132914
{txt}{space 7}2005  {c |}{col 14}{res}{space 2}-.1559454{col 26}{space 2} .0528113{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-.2594537{col 67}{space 3}-.0524372
{txt}{space 7}2006  {c |}{col 14}{res}{space 2}-.1478543{col 26}{space 2} .0523822{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.2505215{col 67}{space 3} -.045187
{txt}{space 7}2007  {c |}{col 14}{res}{space 2}-.2583464{col 26}{space 2} .0540114{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4}-.3642068{col 67}{space 3}-.1524861
{txt}{space 7}2008  {c |}{col 14}{res}{space 2}-.1496331{col 26}{space 2} .0530451{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.2535996{col 67}{space 3}-.0456667
{txt}{space 7}2009  {c |}{col 14}{res}{space 2}-.2189798{col 26}{space 2} .0528056{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-.3224768{col 67}{space 3}-.1154827
{txt}{space 7}2010  {c |}{col 14}{res}{space 2}-.2567935{col 26}{space 2} .0543187{col 37}{space 1}   -4.73{col 46}{space 3}0.000{col 54}{space 4}-.3632562{col 67}{space 3}-.1503308
{txt}{space 7}2011  {c |}{col 14}{res}{space 2}-.2375802{col 26}{space 2} .0544245{col 37}{space 1}   -4.37{col 46}{space 3}0.000{col 54}{space 4}-.3442502{col 67}{space 3}-.1309102
{txt}{space 7}2012  {c |}{col 14}{res}{space 2}-.2277814{col 26}{space 2} .0547533{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4} -.335096{col 67}{space 3}-.1204669
{txt}{space 7}2014  {c |}{col 14}{res}{space 2}-.2388292{col 26}{space 2} .0543018{col 37}{space 1}   -4.40{col 46}{space 3}0.000{col 54}{space 4}-.3452587{col 67}{space 3}-.1323997
{txt}{space 7}2021  {c |}{col 14}{res}{space 2}-.0037588{col 26}{space 2} .0537066{col 37}{space 1}   -0.07{col 46}{space 3}0.944{col 54}{space 4}-.1090218{col 67}{space 3} .1015042
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.6800528{col 26}{space 2} .0756162{col 37}{space 1}   -8.99{col 46}{space 3}0.000{col 54}{space 4}-.8282579{col 67}{space 3}-.5318478
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, at( middle_class =(0(1)1)) atmeans noatlegend
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}    15,678
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(conservative), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3718325{col 26}{space 2} .0049265{col 37}{space 1}   75.48{col 46}{space 3}0.000{col 54}{space 4} .3621767{col 67}{space 3} .3814883
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3306701{col 26}{space 2} .0062216{col 37}{space 1}   53.15{col 46}{space 3}0.000{col 54}{space 4}  .318476{col 67}{space 3} .3428643
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: middle_class{p_end}
{res}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\research\works\주제5_지역불평등과 정치\data\analysis_1_code.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}29 Oct 2025, 20:40:43
{txt}{.-}
{smcl}
{txt}{sf}{ul off}